CN110135071A - Reliability detection method and system of single-axis fiber optic gyroscope based on multivariate performance degradation - Google Patents

Abstract

The invention relates to a single-axis optical fiber gyro reliability detection method based on multivariate performance degradation. The reliability function model of the FOG scale factor; construct the joint distribution function of the zero bias and the scale factor degradation failure of the FOG; calculate the reliability comprehensive model of the FOG, and output the detection data including the reliability information of the FOG. The invention also discloses a system for implementing the reliability detection method of the single-axis fiber optic gyroscope based on multivariate performance degradation. The present invention obtains the required test data through the reliability detection system of the fiber optic gyroscope, calculates the comprehensive function of the reliability of the fiber optic gyroscope, obtains the current corresponding reliability index of the fiber optic gyroscope under test, and intuitively evaluates the reliability level of the fiber optic gyroscope at present, which is the reliability level of the fiber optic gyroscope. Production or design, providing technical support for product improvement.

Description

Reliability detection method and system of single-axis fiber optic gyroscope based on multivariate performance degradation

technical field

The invention relates to the technical field of reliability analysis and detection, in particular to a method and system for reliability detection of a single-axis fiber optic gyroscope based on multivariate performance degradation.

Background technique

With the rapid development of my country's industrial production and the improvement of equipment, the requirements for product quality and reliability are getting higher and higher. Fiber optic gyroscope is a key component of inertial navigation system, widely used in military and civil fields such as sea, land and air, and has the characteristics of long-term storage, one-time use, degradation and failure. According to the structure, fiber optic gyroscopes are divided into single-axis and multi-axis fiber-optic gyroscopes. Among them, single-axis fiber-optic gyroscopes are the most widely used. Therefore, it is particularly important to test the performance of single-axis fiber-optic gyroscopes and effectively evaluate the reliability level of single-axis fiber-optic gyroscopes. How to detect the reliability level of the single-axis fiber optic gyroscope by an effective method can not only point out the way to improve the design when it is required to further improve its performance level, but also can effectively understand the performance level of the single-axis fiber optic gyroscope. The evaluation of the performance of the entire inertial system operation.

At present, the parameter acquisition and detection systems for single-axis fiber optic gyroscopes, such as the detection systems based on RS232, mostly have a low degree of automation, complex hardware circuits, and the recording, processing and analysis of test data are all done manually, which is time-consuming and cannot be Avoid human error, etc. At the same time, when the reliability analysis of single-axis fiber optic gyroscope is carried out, most of the degradation analysis is carried out for the single performance of single-axis fiber optic gyroscope. At present, there are two main methods for analysis considering the degradation of multiple performances: (1) It is assumed that multiple performance degradation processes are independent of each other or obey the multivariate normal distribution, which has the advantage of being simple and fast, but the analysis is not comprehensive, and the result error is large; (2) Consider the correlation between multivariate performance parameters, such as using joint probability The advantage of density hair and state space method is that the correlation between multivariate performance degradation processes is fully considered, but there are problems of difficult modeling and large amount of calculation.

SUMMARY OF THE INVENTION

The primary purpose of the present invention is to provide a method for detecting the reliability of a single-axis fiber optic gyroscope based on the multivariate performance degradation, which effectively describes the correlation between the multivariate performance degradation quantities, is simple in calculation, and has good extrapolation.

In order to achieve the above object, the present invention adopts the following technical solutions: a method for detecting reliability of a single-axis fiber optic gyroscope based on multivariate performance degradation, characterized in that: the method comprises the steps in the following order:

(1) Degradation modeling is performed on the FOG bias degradation X ₁ (t) and the scale factor degradation X ₂ (t):

(2) Build the reliability model of the zero bias performance of the fiber optic gyroscope;

(3) Build the reliability function model of the FOG scale factor;

(4) Based on the Frank Copula function, construct the joint distribution function of the zero bias and scale factor degradation failure of the fiber optic gyroscope;

(5) The reliability comprehensive model of the fiber optic gyroscope is obtained by calculation, and the detection data including the reliability information of the fiber optic gyroscope is generated and outputted from the reliability comprehensive model of the fiber optic gyroscope.

The step (1) specifically refers to:

X ₁ (t)=μ ₁ t+σ ₁ B(t), X ₂ (t)=μ ₂ t+σ ₂ B(t), where B(t) is the standard Brownian motion, μ ₁ , σ ₁ represents the zero bias degradation rate and bias diffusion coefficient, respectively, _{μ 2} , _{σ 2} represent the scale factor degradation rate and the scale factor diffusion coefficient, _respectively . Estimated value of _σ2

The step (2) specifically refers to:

Calculate the zero-biased degradation failure distribution function in The estimated values of the zero-bias degradation rate and the zero-bias diffusion coefficient, respectively, Φ( ) is the standard normal distribution function, w ₁ represents the zero-bias degradation failure threshold, and the reliability model of the zero-bias performance of the fiber optic gyroscope is constructed.

Described step (3) specifically refers to:

Calculate the scale factor degradation failure distribution function in are the estimated values of the scale factor degradation rate and the scale factor diffusion coefficient, respectively, Φ( ) is the standard normal distribution function, w ₂ represents the scale factor degradation failure threshold, and the FOG scale factor reliability function model is constructed

Described step (4) specifically refers to:

Among them, C(·) is a binary Copula function with marginal distribution functions F ₁ (t) and F ₂ (t), F ₁ (t) is a failure distribution function of zero-biased degradation, and F ₂ (t) is the standard The failure distribution function of the degree factor degradation amount, is the estimated value of the correlation coefficient between the offset degradation of the fiber optic gyroscope and the degradation of the scale factor, The value is obtained by the Bayesian parameter estimation method;

said The value obtained by the Bayesian parameter estimation method specifically refers to:

Calculate the function value (F ₁ (t _j ), F ₂ (t _j ) at time t _j from the failure distribution function F ₁ (t) of the zero bias degradation amount and the failure distribution function F ₂ (t) of the scale factor degradation amount ), the log-likelihood function of the Copula function is Further use the Bayesian parameter estimation method to obtain the estimated value of the correlation coefficient The corresponding Bayesian formula is: P(α|(F ₁ (t _j ),F ₂ (t _j )))∝π(α)·L(F ₁ (t _j ),F ₂ (t _j )| α), where P(α|(F ₁ (t _j ), F ₂ (t _j ))) is the posterior distribution of the parameter α, and π(α) is the uninformative prior distribution.

The step (5) specifically refers to:

where R ₁ (t) represents the reliability function of the zero bias performance degradation, R ₂ (t) represents the reliability function of the scale factor performance degradation, Joint distribution function of zero bias and scale factor degradation failure; generated from the comprehensive model of fiber optic gyroscope reliability and output detection data including fiber optic gyroscope reliability information.

The obtaining of the estimated values of μ ₁ , σ ₁ , μ ₂ , and σ ₂ by the maximum likelihood estimation method includes the following steps:

(1a) The data form of FOG zero bias degradation is:

The scale factor degenerate data is of the form:

where i=1,...,n,j=1,...,m, n is the total number of samples, m is the total number of measurement moments, and the data degradation amount at the initial moment is 0. The formula Δx _1,i (t _j ) =x _1,i (t _j )-x _1,i (t _j-1 ), Δx _2,i (t _j )=x _2,i (t _j )-x _2,i (t _j-1 ), respectively Calculate the zero offset degradation increment between adjacent measurement times:

and scale factor degenerate increments:

(1b) According to the maximum likelihood estimation method, the estimated values of the zero-bias degradation rate and the zero-bias diffusion coefficient are obtained from the zero-bias degradation increment ΔX _1,i (t _j ): The scale factor degradation rate and scale factor diffusion coefficient estimates are obtained from the scale factor degradation increment ΔX _2,i (t _j ):

Another object of the present invention is to provide a system for implementing a reliability detection method for a single-axis fiber optic gyroscope based on multiple performance degradation, including:

The power supply unit protects the fiber optic gyroscope and meets the +5V voltage requirement for its work;

The detection platform provides the detection environment of the fiber optic gyroscope and realizes the performance detection of the fiber optic gyroscope;

The data acquisition module realizes the acquisition of the output data of the fiber optic gyroscope and transmits it to the computer;

The computer processes and analyzes the data transmitted by the data acquisition module, completes the calibration of the performance parameters of the fiber optic gyroscope, and realizes the display and storage of the data;

The detection platform includes a temperature control box and a single-axis integrated turntable, and the fiber optic gyroscope is placed in the temperature control box;

The data acquisition module includes:

A/D converter, which converts the voltage signal or current signal output by the fiber optic gyroscope into an equivalent digital signal that can be recognized by the computer;

The data buffer module plays the role of data buffer and is connected between the A/D converter and the host. The data generated by the A/D converter is first stored in the buffer, and when the data in the buffer is full, it is taken away by the computer data;

The control circuit realizes the conversion of the output signal of the fiber optic gyroscope and the control of the computer data reading;

The USB interface circuit realizes data transmission and transmits the collected data to the computer.

The control circuit includes:

USB controller, which controls the transmission of data and the normal operation of all USB interfaces and devices on the interfaces;

The logic control circuit receives the control signal sent by the USB controller, and generates the control signal of the three-state buffer circuit and the clock circuit;

Tri-state buffer circuit, in the high-impedance state, the fiber optic gyroscope data is transmitted from the AD9225 chip to the static RAM, and in the high and low states, the data transmission between the static RAM and the USB controller is realized;

The clock circuit, by controlling the sequential logic circuit, generates the clock signal of the AD9225 chip and the conversion start signal, the clock signal of the address generator, and adjusts the clock synchronization between the A/D converter and the static RAM to ensure the correct timing of the circuit;

The sequential logic circuit is controlled by the clock circuit to generate the clock signal of the AD9225 chip, the conversion start signal, and the clock signal of the address generator;

The address generator, implemented by a counter, provides read and write address signals of static RAM;

AD9225 chip, providing 12-bit precision, 25Msps high-speed analog-to-digital conversion;

Static RAM, for data buffer, plays the role of data buffer.

As can be seen from the above technical solutions, the advantages of the present invention are: first, compared with the detection system based on RS232, the system adopts a high-speed A/D chip and a USB interface, which solves the problem of slow transmission rate and data throughput per unit time. The data volume is increased by more than ten percentage points; secondly, the collection and storage of data and basic processing functions are realized at the same time, which avoids the tediousness of manual completion and ensures the efficiency; thirdly, this method In the reliability analysis, the correlation between the multivariate performance degradation quantities is fully considered, and the Frank Copula function is used to effectively couple the multivariate performance degradation quantities of the fiber optic gyroscope. It has the advantages of convenient modeling and simple calculation.

Description of drawings

Fig. 1 is the composition block diagram of this system;

Fig. 2 is the circuit principle block diagram of the control circuit;

Fig. 3 is the method flow chart of the present invention;

Figure 4 is a graph of zero bias degradation data;

Figure 5 is a graph of scale factor degradation data;

Figure 6 is a graph of the relationship between zero bias and scale factor degradation;

Figure 7 is a flow chart of the idea of Bayesian parameter estimation;

Figure 8 is a reliability graph.

Detailed ways

As shown in Figure 3, a method for reliability detection of single-axis fiber optic gyroscope based on multivariate performance degradation, the method includes the steps in the following sequence:

(1) Degradation modeling is performed on the FOG bias degradation X ₁ (t) and the scale factor degradation X ₂ (t):

(2) Build the reliability model of the zero bias performance of the fiber optic gyroscope;

(3) Build the reliability function model of the FOG scale factor;

(4) Based on the Frank Copula function, construct the joint distribution function of the zero bias and scale factor degradation failure of the fiber optic gyroscope;

(5) The reliability comprehensive model of the fiber optic gyroscope is obtained by calculation, and the detection data including the reliability information of the fiber optic gyroscope is generated and outputted from the reliability comprehensive model of the fiber optic gyroscope.

The step (1) specifically refers to:

X ₁ (t)=μ ₁ t+σ ₁ B(t), X ₂ (t)=μ ₂ t+σ ₂ B(t), where B(t) is the standard Brownian motion, μ ₁ , σ ₁ represents the zero bias degradation rate and bias diffusion coefficient, respectively, _{μ 2} , _{σ 2} represent the scale factor degradation rate and the scale factor diffusion coefficient, _respectively . Estimated value of _σ2

The step (2) specifically refers to:

Calculate the zero-biased degradation failure distribution function in The estimated values of the zero-bias degradation rate and the zero-bias diffusion coefficient, respectively, Φ( ) is the standard normal distribution function, w ₁ represents the zero-bias degradation failure threshold, and the reliability model of the zero-bias performance of the fiber optic gyroscope is constructed.

Described step (3) specifically refers to:

Calculate the scale factor degradation failure distribution function in are the estimated values of the scale factor degradation rate and the scale factor diffusion coefficient, respectively, Φ( ) is the standard normal distribution function, w ₂ represents the scale factor degradation failure threshold, and the FOG scale factor reliability function model is constructed

As shown in Figure 6, the step (4) specifically refers to:

Among them, C(·) is a binary Copula function with marginal distribution functions F ₁ (t) and F ₂ (t), F ₁ (t) is a failure distribution function of zero-biased degradation, and F ₂ (t) is the standard The failure distribution function of the degree factor degradation amount, is the estimated value of the correlation coefficient between the offset degradation of the fiber optic gyroscope and the degradation of the scale factor, The value is obtained by the Bayesian parameter estimation method;

As shown in Figure 7, the The value obtained by the Bayesian parameter estimation method specifically refers to:

Calculate the function value (F ₁ (t _j ), F ₂ (t _j ) at time t _j from the failure distribution function F ₁ (t) of the zero bias degradation amount and the failure distribution function F ₂ (t) of the scale factor degradation amount ), the log-likelihood function of the Copula function is Further use the Bayesian parameter estimation method to obtain the estimated value of the correlation coefficient The corresponding Bayesian formula is: P(α|(F ₁ (t _j ),F ₂ (t _j )))∝π(α)·L(F ₁ (t _j ),F ₂ (t _j )| α), where P(α|(F ₁ (t _j ), F ₂ (t _j ))) is the posterior distribution of the parameter α, and π(α) is the uninformative prior distribution.

The step (5) specifically refers to:

where R ₁ (t) represents the reliability function of the zero bias performance degradation, R ₂ (t) represents the reliability function of the scale factor performance degradation, Joint distribution function of zero bias and scale factor degradation failure; generated from the comprehensive model of fiber optic gyroscope reliability and output detection data including fiber optic gyroscope reliability information.

The obtaining of the estimated values of μ ₁ , σ ₁ , μ ₂ , and σ ₂ by the maximum likelihood estimation method includes the following steps:

(1a) The data form of FOG zero bias degradation is:

The scale factor degenerate data is of the form:

where i=1,...,n,j=1,...,m, n is the total number of samples, m is the total number of measurement moments, and the data degradation amount at the initial moment is 0. The formula Δx _1,i (t _j ) =x _1,i (t _j )-x _1,i (t _j-1 ), Δx _2,i (t _j )=x _2,i (t _j )-x _2,i (t _j-1 ), respectively Calculate the zero offset degradation increment between adjacent measurement times: and scale factor degenerate increments:

(1b) According to the maximum likelihood estimation method, the estimated values of the zero-bias degradation rate and the zero-bias diffusion coefficient are obtained from the zero-bias degradation increment ΔX _1,i (t _j ): The scale factor degradation rate and scale factor diffusion coefficient estimates are obtained from the scale factor degradation increment ΔX _2,i (t _j ):

As shown in Figure 1, the system includes:

The power supply unit protects the fiber optic gyroscope and meets the +5V voltage requirement for its work;

The detection platform provides the detection environment of the fiber optic gyroscope and realizes the performance detection of the fiber optic gyroscope;

The data acquisition module realizes the acquisition of the output data of the fiber optic gyroscope and transmits it to the computer;

The computer processes and analyzes the data transmitted by the data acquisition module, completes the calibration of the performance parameters of the fiber optic gyroscope, and realizes the display and storage of the data;

The detection platform includes a temperature control box and a single-axis integrated turntable, and the fiber optic gyroscope is placed in the temperature control box;

The data acquisition module includes:

A/D converter, which converts the voltage signal or current signal output by the fiber optic gyroscope into an equivalent digital signal that can be recognized by the computer;

The data buffer module plays the role of data buffer and is connected between the A/D converter and the host. The data generated by the A/D converter is first stored in the buffer, and when the data in the buffer is full, it is taken away by the computer data;

The control circuit realizes the conversion of the output signal of the fiber optic gyroscope and the control of the computer data reading;

The USB interface circuit realizes data transmission and transmits the collected data to the computer.

As shown in Figure 2, the control circuit includes:

USB controller, which controls the transmission of data and the normal operation of all USB interfaces and devices on the interfaces;

The logic control circuit receives the control signal sent by the USB controller, and generates the control signal of the three-state buffer circuit and the clock circuit;

Tri-state buffer circuit, in the high-impedance state, the fiber optic gyroscope data is transmitted from the AD9225 chip to the static RAM, and in the high and low states, the data transmission between the static RAM and the USB controller is realized;

The clock circuit, by controlling the sequential logic circuit, generates the clock signal of the AD9225 chip and the conversion start signal, the clock signal of the address generator, and adjusts the clock synchronization between the A/D converter and the static RAM to ensure the correct timing of the circuit;

The sequential logic circuit is controlled by the clock circuit to generate the clock signal of the AD9225 chip, the conversion start signal, and the clock signal of the address generator;

The address generator, implemented by a counter, provides read and write address signals of static RAM;

AD9225 chip, providing 12-bit precision, 25Msps high-speed analog-to-digital conversion;

Static RAM, for data buffer, plays the role of data buffer.

The present invention will be further described below with reference to FIGS. 1 to 8 .

As shown in Figure 1, the fiber optic gyroscope is placed in the temperature control box, fixed by the positioning clip, and the direction of the input reference axis IRA of the fiber optic gyroscope is kept perpendicular to the platform surface of the single-axis integrated turntable. The single-axis integrated turntable and The temperature control box provides the test environment for the fiber optic gyroscope. The power supply unit provides the +5V voltage required for the operation of the fiber optic gyroscope. The output signal of the fiber optic gyroscope is converted by the A/D converter, and the converted data is first stored in the data buffer. When the data in the data buffer is full, the computer reads the data, and the control circuit controls the conversion of the output signal of the fiber optic gyro and the reading of the computer data. calibration, and realize the drawing and display of data.

Three samples of the same batch of single-axis fiber optic gyroscopes were selected for test analysis. The temperature of the temperature control box was controlled at 60 °C and stabilized for 1 hour for preheating. Then, the fiber optic gyroscope power supply was turned on, and the output value was measured at a fixed time interval of 168 hours, with a total of 25 measurements. Second, the output signal of the fiber optic gyroscope is collected, analyzed and processed by the computer, and its zero offset and scale factor are calibrated to obtain its zero offset and scale factor degradation data as shown in Table 1 and Table 2, and the degradation curves are respectively drawn as shown in Fig. 4. As shown in Figure 5, it can be seen from Figure 4 and Figure 5 that the zero offset and scale factor of the three fiber optic gyroscope test samples have obvious degradation trends.

Table 1 Zero bias degradation data (°\h)

Table 2 Scale factor degradation data (10e-6)

From the data in Table 1 and Table 2, the data of zero offset degradation increment and scale factor degradation increment are calculated as shown in Table 3 and Table 4;

Table 3 Zero offset degradation increment

Table 4 Scale factor degradation increments

The comprehensive reliability function curve of the fiber optic gyroscope is shown in Figure 8. The abscissa represents the time, and the unit is h, and the ordinate represents the reliability of the corresponding time. According to the above reliability function, the life analysis is carried out. After 31175h, the reliability of the FOG is 0.97; after 31941h, the reliability of the FOG is 0.95; after 34693h, the reliability of the FOG is 0.8; after 39939h, the reliability of the FOG is 0.3.

table 5

To sum up, the present invention comprehensively considers the influence of zero bias and scale factor performance on the reliability of the fiber optic gyroscope, obtains the required test data through the fiber optic gyroscope reliability detection system, calculates the comprehensive function of the reliability of the fiber optic gyroscope, and obtains the current corresponding Measure the reliability index of the fiber optic gyroscope, intuitively evaluate the reliability level of the current fiber optic gyroscope, and provide technical support for product improvement for the production or design of the fiber optic gyroscope.

Claims (9)

1. a kind of single axis fiber gyro reliability checking method based on polynary performance degradation, it is characterised in that: this method includes The step of following sequence:

(1) to optical fibre gyro zero bias amount of degradation X₁(t) and constant multiplier amount of degradation X₂(t) degeneration modeling is carried out:

(2) optical fibre gyro zero bias performance reliability model is constructed；

(3) optic fiber gyroscope graduation factor Reliability Function model is constructed；

(4) zero bias and constant multiplier degradation failure joint distribution function based on Frank Copula construction of function optical fibre gyro；

(5) the reliability collective model of optical fibre gyro is calculated, generated by optical fibre gyro Reliability Synthesis model and exports packet Include the detection data of optical fibre gyro reliability information.

2. the single axis fiber gyro reliability checking method according to claim 1 based on polynary performance degradation, feature Be: the step (1) specifically refers to:

X₁(t)=μ₁t+σ₁B(t)、X₂(t)=μ₂t+σ₂B (t), in formula, B (t) is standard Brownian movement form, μ₁,σ₁Table respectively Show zero bias degradation ratio and zero bias diffusion coefficient, μ₂,σ₂Constant multiplier degradation ratio and constant multiplier diffusion coefficient are respectively indicated, by pole The maximum-likelihood estimation technique obtains μ₁,σ₁,μ₂,σ₂Estimated value

3. the single axis fiber gyro reliability checking method according to claim 1 based on polynary performance degradation, feature Be: the step (2) specifically refers to:

Calculate zero bias degradation failure distribution functionWhereinThe respectively estimated value of zero bias degradation ratio and zero bias diffusion coefficient, Φ () are standard normal distribution function, w₁Indicate zero Inclined degradation failure threshold value, constructs optical fibre gyro zero bias performance reliability model

4. the single axis fiber gyro reliability checking method according to claim 1 based on polynary performance degradation, feature Be: the step (3) specifically refers to:

Calculate constant multiplier degradation failure distribution function

WhereinRespectively constant multiplier degradation ratio With the estimated value of constant multiplier diffusion coefficient, Φ () is standard normal distribution function, w₂Indicate constant multiplier degradation failure threshold Value constructs optic fiber gyroscope graduation factor Reliability Function model

5. the single axis fiber gyro reliability checking method according to claim 1 based on polynary performance degradation, feature Be: the step (4) specifically refers to:

Wherein, C () is with side Edge distribution function F₁(t)、F₂(t) binary Copula function, F₁It (t) is the failure distribution function of zero bias amount of degradation, F₂(t) it is The failure distribution function of constant multiplier amount of degradation,For the correlation between optical fibre gyro zero bias amount of degradation and constant multiplier amount of degradation Coefficient estimated value,Value is obtained by Bayes's Parameter Estimation Method；

It is describedValue is specifically referred to by Bayes's Parameter Estimation Method:

By the failure distribution function F of zero bias amount of degradation₁(t), the failure distribution function F of constant multiplier amount of degradation₂(t) t is calculated_j Moment functional value (F₁(t_j),F₂(t_j)), the log-likelihood function of Copula function isFurther obtained using Bayes's Parameter Estimation Method To related coefficient estimated valueCorresponding Bayesian formula are as follows: and P (α | (F₁(t_j),F₂(t_j)))∝π(α)·L(F₁(t_j),F₂ (t_j) | α), and P in formula (α | (F₁(t_j),F₂(t_j))) be parameter alpha Posterior distrbutionp, π (α) be spindleless roller.

6. the single axis fiber gyro reliability checking method according to claim 1 based on polynary performance degradation, feature Be: the step (5) specifically refers to:

R in formula₁(t) the reliability letter of zero bias performance degradation amount is indicated Number, R₂(t) Reliability Function of constant multiplier performance degradation amount is indicated,It is moved back for zero bias and constant multiplier Change failure joint distribution function；It is generated by optical fibre gyro Reliability Synthesis model and is exported including optical fibre gyro reliability information Detection data.

7. the single axis fiber gyro reliability checking method according to claim 2 based on polynary performance degradation, feature It is: described that μ is obtained by Maximum Likelihood Estimation Method₁,σ₁,μ₂,σ₂Estimated value the following steps are included:

(1a) optical fibre gyro zero bias degraded data form are as follows:

Constant multiplier degraded data form are as follows:

Wherein i=1 ..., n, j=1 ..., m, n are total sample number, and m is measurement moment sum, initial time data degradation amount It is 0, by formula Δ x_1,i(t_j)=x_1,i(t_j)-x_1,i(t_j-1), Δ x_2,i(t_j)=x_2,i(t_j)-x_2,i(t_j-1) calculate separately to obtain Zero bias degeneration increment between the adjacent measurement moment:

With constant multiplier degeneration increment:

(1b) according to Maximum Likelihood Estimation Method, by zero bias degeneration increment Delta X_1,i(t_j) obtain zero bias degradation ratio and zero bias diffusion coefficient Estimated value:By constant multiplier degeneration increment Delta X_2,i(t_j) obtain Constant multiplier degradation ratio and constant multiplier diffusion coefficient estimated value:

8. implementing the single axis fiber gyro reliability detection described in any one of any one of claims 1 to 77 based on polynary performance degradation The system of method, it is characterised in that: include:

Power supply unit ,+5V voltage requirement needed for protection optical fibre gyro meets its work simultaneously；

Detection platform provides the detection environment of optical fibre gyro, realizes the performance detection of optical fibre gyro；

Data acquisition module realizes the acquisition of optical fibre gyro output data and is transmitted to computer；

Computer carries out processing analysis to the data sent through data acquisition module, completes fiber optic gyroscope performance parameter Calibration, realizes the display and storage of data；

The detection platform includes temperature control box and uniaxial integrated turntable, and optical fibre gyro is placed in temperature control box；

The data acquisition module includes:

The voltage signal of optical fibre gyro output or current signal are converted to the equivalent number that computer can identify by A/D converter Word signal；

Data buffering module, plays the role of data buffering, is connected between A/D converter and host, what A/D converter generated Data are first stored in buffer, take data away by computer after data are filled in buffer；

Control circuit realizes the control read to the conversion of Optical Fiber Gyroscope and computer data；

Usb circuit realizes the transmission of data, by acquisition data transmission to computer.

9. system according to claim 8, it is characterised in that: the control circuit includes:

USB controller controls the normal operation of equipment in the transmission and all USB interfaces and interface of data；

Logic control circuit receives the control signal that USB controller issues, and generates the control of tri-state buffer circuit and clock circuit Signal；

Tri-state buffer circuit realizes that data of optical fiber gyroscope is transferred to static RAM by AD9225 chip, is high and low when being high-impedance state The data transmission between static state RAM and USB controller is realized when level state；

Clock circuit, generated by control sequential logic circuit AD9225 chip clock signal and conversion start signal, The clock signal and adjustment A/D converter of location generator are synchronous with the clock between static state RAM, are guaranteeing the timing of circuit just Really；

Sequential logical circuit, the clock signal for generating AD9225 chip is controlled by clock circuit and conversion start signal, address are sent out The clock signal of raw device；

Address generator is realized by counter, provides the read/write address signal of static RAM；

AD9225 chip provides 12 precision, the high speed analog-to-digital conversion of 25Msps；

Static RAM is data buffer, plays the role of data buffering.